DATE: 8/ 8/2001 TIME: 13:16 L I S R E L 8.30 BY Karl G. J”reskog & Dag S”rbom This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Lincolnwood, IL 60712, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 1981-2000 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file E:\ANTI\ANTI02~1.LS8: TI Linear Condtional LTM for Antisocial Behavior DA NI=11 NO=221 NG=1 MA=CM LA anti1 anti2 anti3 anti4 read1 read2 read3 read4 gen homecog subjid RA FI=e:\anti\antiread.dat SE 1 2 3 4 9 10/ MO NY=6 NE=4 LY=FU,FI PS=SY,FI BE=FU,FI TE=SY,FI TY=FI AL=FI LE int slp gen homecog FR AL(1) AL(2) AL(3) AL(4) VA 1.0 LY(1,1) LY(2,1) LY(3,1) LY(4,1) VA 1.0 LY(2,2) VA 2.0 LY(3,2) VA 3.0 LY(4,2) VA 1.0 LY(5,3) LY(6,4) FR PS(1,1) PS(2,2) PS(2,1) FR PS(3,3) PS(4,4) PS(4,3) FR TE(1,1) TE(2,2) TE(3,3) TE(4,4) EQ TE(1,1) TE(2,2) TE(3,3) TE(4,4) FR BE(1,3) BE(2,3) BE(1,4) BE(2,4) OU ME=ML IT=250 TI Linear Condtional LTM for Antisocial Behavior Number of Input Variables 11 Number of Y - Variables 6 Number of X - Variables 0 Number of ETA - Variables 4 Number of KSI - Variables 0 Number of Observations 221 TI Linear Condtional LTM for Antisocial Behavior Covariance Matrix to be Analyzed anti1 anti2 anti3 anti4 gen homecog -------- -------- -------- -------- -------- -------- anti1 2.37 anti2 1.16 3.21 anti3 1.22 1.63 3.24 anti4 1.35 2.00 2.24 4.35 gen 0.14 0.18 0.16 0.22 0.25 homecog -0.19 -0.97 -0.87 -1.14 -0.01 6.03 Means anti1 anti2 anti3 anti4 gen homecog -------- -------- -------- -------- -------- -------- 1.49 1.84 1.88 2.07 0.52 9.10 TI Linear Condtional LTM for Antisocial Behavior Parameter Specifications BETA int slp gen homecog -------- -------- -------- -------- int 0 0 1 2 slp 0 0 3 4 gen 0 0 0 0 homecog 0 0 0 0 PSI int slp gen homecog -------- -------- -------- -------- int 5 slp 6 7 gen 0 0 8 homecog 0 0 9 10 THETA-EPS anti1 anti2 anti3 anti4 gen homecog -------- -------- -------- -------- -------- -------- 11 11 11 11 0 0 ALPHA int slp gen homecog -------- -------- -------- -------- 12 13 14 15 TI Linear Condtional LTM for Antisocial Behavior Number of Iterations = 1 LISREL Estimates (Maximum Likelihood) LAMBDA-Y int slp gen homecog -------- -------- -------- -------- anti1 1.00 - - - - - - anti2 1.00 1.00 - - - - anti3 1.00 2.00 - - - - anti4 1.00 3.00 - - - - gen - - - - 1.00 - - homecog - - - - - - 1.00 BETA int slp gen homecog -------- -------- -------- -------- int - - - - 0.57 -0.06 (0.19) (0.04) 3.05 -1.64 slp - - - - 0.08 -0.05 (0.08) (0.02) 0.94 -2.64 gen - - - - - - - - homecog - - - - - - - - Covariance Matrix of ETA int slp gen homecog -------- -------- -------- -------- int 0.97 slp 0.15 0.10 gen 0.14 0.02 0.25 homecog -0.38 -0.27 -0.01 6.03 Mean Vector of Eta-Variables int slp gen homecog -------- -------- -------- -------- 1.55 0.18 0.52 9.10 PSI int slp gen homecog -------- -------- -------- -------- int 0.86 (0.20) 4.35 slp 0.12 0.08 (0.07) (0.04) 1.75 1.95 gen - - - - 0.25 (0.02) 10.49 homecog - - - - -0.01 6.03 (0.08) (0.57) -0.08 10.49 Squared Multiple Correlations for Structural Equations int slp gen homecog -------- -------- -------- -------- 0.11 0.14 - - - - Squared Multiple Correlations for Reduced Form int slp gen homecog -------- -------- -------- -------- 0.00 - - - - - - THETA-EPS anti1 anti2 anti3 anti4 gen homecog -------- -------- -------- -------- -------- -------- 1.54 1.54 1.54 1.54 - - - - (0.10) (0.10) (0.10) (0.10) 14.83 14.83 14.83 14.83 Squared Multiple Correlations for Y - Variables anti1 anti2 anti3 anti4 gen homecog -------- -------- -------- -------- -------- -------- 0.39 0.47 0.56 0.64 1.00 1.00 ALPHA int slp gen homecog -------- -------- -------- -------- 1.82 0.55 0.52 9.10 (0.37) (0.17) (0.03) (0.17) 4.88 3.26 15.55 54.98 Goodness of Fit Statistics Degrees of Freedom = 12 Minimum Fit Function Chi-Square = 8.68 (P = 0.73) Normal Theory Weighted Least Squares Chi-Square = 8.90 (P = 0.71) Estimated Non-centrality Parameter (NCP) = 0.0 90 Percent Confidence Interval for NCP = (0.0 ; 7.26) Minimum Fit Function Value = 0.039 Population Discrepancy Function Value (F0) = 0.0 90 Percent Confidence Interval for F0 = (0.0 ; 0.033) Root Mean Square Error of Approximation (RMSEA) = 0.0 90 Percent Confidence Interval for RMSEA = (0.0 ; 0.052) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.94 Expected Cross-Validation Index (ECVI) = 0.16 90 Percent Confidence Interval for ECVI = (0.16 ; 0.20) ECVI for Saturated Model = 0.19 ECVI for Independence Model = 1.36 Chi-Square for Independence Model with 15 Degrees of Freedom = 287.05 Independence AIC = 299.05 Model AIC = 38.90 Saturated AIC = 42.00 Independence CAIC = 325.44 Model CAIC = 104.88 Saturated CAIC = 134.36 Normed Fit Index (NFI) = 0.97 Non-Normed Fit Index (NNFI) = 1.02 Parsimony Normed Fit Index (PNFI) = 0.78 Comparative Fit Index (CFI) = 1.00 Incremental Fit Index (IFI) = 1.01 Relative Fit Index (RFI) = 0.96 Critical N (CN) = 665.31 Root Mean Square Residual (RMR) = 0.13 Standardized RMR = 0.039 Goodness of Fit Index (GFI) = 0.99 Adjusted Goodness of Fit Index (AGFI) = 0.98 Parsimony Goodness of Fit Index (PGFI) = 0.57 The Problem used 9288 Bytes (= 0.0% of Available Workspace) Time used: 0.051 Seconds